资料简介: Abstract
The bin method, as one of the well known and simple steady state methods used to predict heating and cooling energy consumption of buildings, requires reliable and detailed bin data. Since the long term hourly temperature records are not available in China, there is a lack of bin weather data for study and use. In order to keep the bin method practical in China, a stochastic model using only the daily maximum and minimum temperatures to generate bin weather data was established and tested by applying one year of measured hourly ambient temperature data in Nanjing, China. By comparison with the measured values, the bin weather data generated by the model shows adequate accuracy. This stochastic model can be used to estimate the bin weather data in areas, especially in China, where the long term hourly temperature records are missing or not available.
? 2005 Elsevier Ltd. All rights reserved.
Keywords: Energy analysis; Stochastic method; Bin data; China
1.Introduction
In the sense of minimizing the life cycle cost of a building, energy analysis plays an important role in devel- oping an optimum and cost e?ective design of a heating or an air conditioning system for a building. Several models are available for estimating energy use in buildings. These models range from simple steady state mod- els to comprehensive dynamic simulation procedures.
Today, several computer programs, in which the in?uence of many parameters that are mainly functions of time are taken into consideration, are available for simulating both buildings and systems and performing hour by hour energy calculations using hourly weather data. DOE-2, BLAST and TRNSYS are such
摘要:bin方法是一种众所周知且简捷的稳态的计算方法,可以用来预计建筑的冷热能耗。该方法需要可靠详细的bin数据。因为在中国长期的逐时温度记录不可用,故没有用来研究和应用的bin天气数据。为了让bin方法能在中国应用,在中国南京建立并验证了一种随机模型,通过提供日最高和最低气温该随机模型可以产生bin气象数据。与实测值进行比较,该模型产生的bin气象数据显示出很高的精确性。在那些长期逐时气温记录丢失或不可用的地区,特别是在中国,可以用该随机模型估算bin气象数据。
关键词:能耗分析;随机模型;Bin数据;中国
1.绪论
为了最大限度减少建筑寿命周期内的费用,能耗分析在发展最适宜和成本更优化的建筑采暖和空调系统设计方面起到了很重要作用。
这些模型涉及从简单稳定模型到复杂动态模拟程序。现今,一些电脑程序可用于模拟建筑和空调系统。这些程序使用逐时气象数据进行能耗计算,考虑了许多时间函数参数的影响。如DOE-2,BLAST and TRNSYS 就属此类程序,它们已经被当作可靠的估算工具得到广泛的认可。不足之处是,随着模型复杂性的增加,这些程序变得复杂而且使用起来十分冗长乏味。
稳态方法,又称单测量法,只需要很少的数据且能够为简单的系统和应用提供足够的结论数据。其中有度日数法和bin数据法。
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